DEVELOPMENT... OpenML
Run
138902

Run 138902

Task 273 (Supervised Classification) spambase Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_REPTree(2)_I20
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9826
Per class
Build CPU time
3.872
Build memory
115682344
F measure
0.9453
Per class
Kappa
0.8849
KB relative information score
1328.9903
Mean absolute error
0.0572
Mean prior absolute error
0.4764
Number of instances
1518
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9453
Per class
Predictive accuracy
0.9453
Prior entropy
0.9674
Recall
0.9453
Per class
Relative absolute error
0.12
Root mean prior squared error
0.4875
Root mean squared error
0.2177
Root relative squared error
0.4465
SciMark benchmark
935.1201